3 citations · 6 across the 6 of their papers we have counts for
6 papers
Additive-feature-attribution methods: a review on explainable artificial intelligence for fluid dynamics and heat transfer
Andrés Cremades, Sergio Hoyas, Ricardo Vinuesa
The use of data-driven methods in fluid mechanics has surged dramatically in recent years due to their capacity to adapt to the complex and multi-scale nature of turbulent flows, a…
Validation of symmetry-induced high moment velocity and temperature scaling laws in a turbulent channel flow
Francisco Alcántara-Ávila, Luis Miguel García-Raffi, Sergio Hoyas +1
The symmetry-based turbulence theory has been used to derive new scaling laws for the streamwise velocity and temperature moments of arbitrary order. For this, it has been applied…
The Sustainable Development Goals and Aerospace Engineering: A critical note through Artificial Intelligence
Alejandro Sánchez-Roncero, Òscar Garibo-i-Ortsa, J. Alberto Conejero +7
The 2030 Agenda of the United Nations (UN) revolves around the Sustainable Development Goals (SDGs). A critical step towards that objective is identifying whether scientific produc…
A deep-learning approach for reconstructing 3D turbulent flows from 2D observation data
Mustafa Z. Yousif, Linqi Yu, Sergio Hoyas +2
Turbulence is a complex phenomenon that has a chaotic nature with multiple spatio-temporal scales, making predictions of turbulent flows a challenging topic. Nowadays, an abundance…
High-resolution large-eddy simulations of simplified urban flows
Marco Atzori, Pablo Torres, Alvaro Vidal +3
High-fidelity large-eddy simulations of the flow around two rectangular obstacles are carried out at a Reynolds number of 10,000 based on the free-stream velocity and the obstacle…
Aim in Climate Change and City Pollution
Pablo Torres, Beril Sirmacek, Sergio Hoyas +1
The sustainability of urban environments is an increasingly relevant problem. Air pollution plays a key role in the degradation of the environment as well as the health of the citi…